Triple
T24033215
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guardians of the Cedars |
E595159
|
entity |
| Predicate | positionOnArabIdentity |
P64813
|
FINISHED |
| Object | rejection of Arab identity for Lebanon |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: rejection of Arab identity for Lebanon | Statement: [Guardians of the Cedars, positionOnArabIdentity, rejection of Arab identity for Lebanon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionOnArabIdentity Context triple: [Guardians of the Cedars, positionOnArabIdentity, rejection of Arab identity for Lebanon]
-
A.
roleInArabStrap
Indicates that an entity holds or held a specific role or position within the band Arab Strap.
-
B.
viewOnArabPopulation
Indicates a stance, opinion, or perspective that someone or something holds regarding the Arab population.
-
C.
regionAllocatedToArabState
Indicates that a particular geographic region has been designated or assigned to be part of an Arab state.
-
D.
positionOnIdentity
chosen
Indicates a stance, view, or opinion that an entity holds regarding identity-related issues or characteristics.
-
E.
roleInArabia
Indicates that an entity holds or held a specific role, position, or function within the context of Arabia.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e288bf45f08190a1b6ed8cd0b9e86b |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1d8d0ec8081908f98e78944bff040 |
completed | April 29, 2026, 10:09 a.m. |
| PD | Predicate disambiguation | batch_69f1764345388190a3102b62ddb729b4 |
completed | April 29, 2026, 3:08 a.m. |
Created at: April 17, 2026, 9:56 p.m.